Adobe Journey Optimizer

What is the difference between these 2 objects? 

Hi there, I have a Read Audience (RA) journey that needs to run twice over a 4-week period (it must remain on a 4-week schedule), and the business would like to include an additional one-day buffer before the journey ends. Should I configure the journey schedule as follows: Scheduler Type: WeeklyRepeat every: 4Start date: 25/08/2026 (10:00)Repeat until: 23/09/2026 (16:00) Thanks!

 We are facing an issue with an email created using the AJO Drag-and-Drop Email Designer. Proof Testing: Email is received in Gmail and renders completely without clipping. Published Journey: The same email is received in Gmail with “Message clipped – View entire message.” AJO Content Check shows “No issues detected.” We are using the Drag-and-Drop implementation and do not see an Optimize HTML size option. Could you please help us understand why the email is being clipped only when triggered through the published Journey and how we can prevent Gmail from clipping the message?Please also confirm whether Journey execution/personalization/tracking can increase the final HTML size compared with the Proof Test version.We can provide the Journey, email template, recipient details, and screenshots if required. 

Hi Team,We have a AJO journey where we are fetching some data like Text and URL using a API call in a custom action and then using the variable fields like: {{{offerCard.offerCardImage.body}}} and {{{offerCard.offerCardImage.url}}} to populate the details in the HTML email.Its working fine but for the URL part we had to use <a href="{{{offerCard.offerCardImage.url}}}">Click Here</a> due to which AJo is not able to track the URL in reporting as well as its not able to encode the URL with the UTM parameters like it does for the hardcoded URLs.I have tried using <a href="https://{{{offerCard.offerCardImage.url}}}">Click Here</a> but it gives me an error saying: Personalisation not allowed in domain.Also if I do like this: <a href="https://{%= (replace(offerCard.offerCardImage.url, "https://", "")) }">Click Here</a> the double quotes get converted into the code " breaking the HTML while saving.same happens with: <a href='https://{%= (replace(offerCard

Hi Everyone,I was exploring the new module options available in the left-hand panel of the new editor and noticed a few issues where there doesn't seem to be an option to make the required adjustments.For example: Header module: After dragging the header module, there doesn’t appear to be an option to reduce the spacing between elements on mobile. Social icons: There doesn’t seem to be an option to keep the social icons in a single row on mobile. Social icon customization: I’m also unable to change/customize the social icons. Dark mode: The social icons are not displaying correctly in dark mode. Is anyone else experiencing similar issues with the new editor?Could we please check if these are known limitations or bugs and whether there is a way to address/fix them?I am adding a few screenshots of these issues.Thanks! 

Does anyone have any experience creating a MMS message using Code Based Experience? The configuration setup looks like it’s strictly for In-App use, and not code that I can push to the service carrier as a JSON. The issue is there are some campaigns where we would like the image to appear before the text. The current MMS template places the image below the text. Please advise. 

Can someone explain me the difference between the two setups:  Detail:2.Detail:

Hi everyone,I'm trying to build an Event-Based Journey in Adobe Journey Optimizer where the journey should start immediately after a customer submits an AJO Landing Page Form.My setupCreated an XDM ExperienceEvent schema. Created an Experience Event Dataset based on this schema. Created a Streaming Connection. Created a Form Preset and selected the Experience Event Dataset. Created an AJO Landing Page using this Form Preset. Form submission reaches the generated HTTP API Source/Dataflow successfully.ProblemThe Dataflow runs successfully, but every submission fails during dataset ingestion.Error: DCVS-1106-400The message cannot be validated because a required property is missing:required key [_id] not foundObservationsForm submission reaches the HTTP API Source. Source Flow is created automatically. Records are received but none are ingested. Experience Event schema contains the standard required fields including: _id timestamp The generated schema sample JSON includes _id. Mapping al

I have the following scenario for AJO Journey Orchestration and would like to understand if there are any recommended approaches for handling this action.I am aware of the Update Profile option , but I want to explore whether there are other approaches for this use case. This is for a Push Notification scenario where we are not using the AJO native channel; instead, we are using a Custom Action integrated with an external API.Scenario:Deploy V1 to Audience 1(batch campaign). Stop V1 after it has completed. Deploy V2 to Audience 2(batch campaign) and exclude all recipients who received V1.What would be the best approach to identify and exclude the profiles who received V1 when V2 is deployed?

The business I am working in is currently migrating to Adobe Experience Cloud utilising AEP and AJO as core products. We have discovered the OOTB AJO email seed list capability is not fit-for-purpose. This because the seed list can only be associated with one test profile at each email surface configuration.Our business context:We already have a total of 16 email surface configurations across four brands including consumer, business, marketing, and transactional email communications. There are multiple lines of business within the business, multiple projects on the go at once, and multiple product and marketing campaigns regularly launching.  At any given moment we have thousands of email communications in-market. It is difficult to keep track of what is in-market, and all of the personalised email variations. Marketing & Product want to be able to see all of the email variations in-market, especially when an email incorporates dynamic content. They want the capability to regularly

Hi,I am having some difficulties understanding the documentation regarding event reactions.I have added an event reaction “clicked” with a following email to those who have clicked. If I add an event timeout of 7 days, will the email to those who clicked wait 7 days before being sent? Or will the email be sent immediately when someone clicks? 

Hi, we have a Channel Capping Rule of 1 Email per day shared across multiple journeys.# Example:Journey 1Trigger → EmailJourney 2Trigger → Email 1 → Wait 1d → Email 2 → Wait 1d → Email 3Scenario:Day 1: Journey 2 - Email 1 → SENTDay 2: Journey 1 - Email → SENT       Journey 2 - Email 2 → EXCLUDED by cappingWe need Journey 2 to behave like:Day 3: Retry Email 2Day 4: Email 3The problem is that a capping exclusion does not trigger the Email error path, so the journey continues normally.We also want to avoid creating one recovery journey or audience per communication because it would not scale.Is there a more native/scalable Adobe-recommended solution for this use case? Even with Data Distiller is something dificult to achieve.Thanks.

Hi! I’m working on a use case where an email was not sent because the profile had reached the daily frequency cap.The client would like to keep that communication on hold and retry it the following day. In other words, if the email is excluded today due to capping, it should automatically be sent tomorrow once the profile is eligible again.Is there a way to achieve this behavior in AJO?Thanks! 

Is it possible to measure with AJO how much revenue particular email sendout generated?User opened email User went to web User bought something on a webI do not thinks so because I do not see such a metric in AJO but I would like to confirm 

I am trying to build a journey using the wave feature to send over 10 days. The send will be flighted each day over the 10 days. I have tried to dry run / use simulation to test the journey, and I keep drawing an error to say last wave must be within 6 days and 18 hours from journey start. Can waves not go beyond this time? Do we have to keep it within 6 days and 18 hours from journey start or is there a way around this? Thanks!  

I see the new 13 month in lake and 90 days in profile store have been implemented across the AJO experience tracking dataset. How is unsubscribe being managed now? I’m seeing cases of where customers have opted out of a communication by clicking the unsubscribe link, being opted back in. the unsub is in the lake, but not in profile any more. What is Adobe doing to manage this? I’m seeing massive GDPR issues here, unless I’m hopefully mistaken regardsMaec

Hi All I have a requirement for a landing page with five Opt-in/Opt-out services.If a user selects one or more specific services for Opt-out and then clicks the Call-to-Action (CTA) button, only the selected services should be opted out. If the user clicks the CTA button without selecting any specific service, the user should be opted out of all five services by default.How can we implement this logic in AJO? Thanks Gowtham Raj

Is there something to consider for push daily capping? I've applied capping to push but users are receving the push even with the daily capping.

Hi Everyone,I am not able to find where I can get the contextual data from API triggered campaign payload within AEP/AJO datasets after email sent out.Normally you would see some metadata on AJO Interactive Messaging Profile Dataset, however I could not find contextual data in it. Thanks!

Hi all,I have a requirement for a landing page with five Opt-in/Opt-out services.If a user selects one or more specific services for Opt-out and then clicks the Call-to-Action (CTA) button, only the selected services should be opted out. If the user clicks the CTA button without selecting any specific service, the user should be opted out of all five services by default.How can we implement this logic in AJO? Thanks Gowtham Raj

How would you debug Ranking Formula in Decisioning?Create selection strategy in code base campaign with test profiles and check if for specific profiles best offer is returned?  

Hi ,we are working on ajo web channel personalizarion to show real time banners. while workign we found that we cant uise event contextual attributes inside web channel. we need to call aem content fragment based on the current page url which user has visited.is it possible to use window.location.href ? will it fetches the current browser url so that we can pass this as input to content fragment.Please help with inputs . ThanksUsha

I created:Profile-enabled Schema Profile-enabled Dataset Identity configured (Email namespace) Ingested customer data successfully Profiles are visible under Real-Time Customer Profiles Created a Batch Audience using Email Address Created a Journey using Read Audience as the entry activityHowever, the audience always shows:Qualified Audience Size = 0As a result, no profiles enter the journey. What I have already verifiedSchema & DatasetProfile-enabled schema Profile-enabled dataset Data ingestion completed successfully No failed batches in the current datasetProfilesThe profile exists and contains:Email Address First Name Last Name Identity MapAudienceAudience is Published Origin = Segmentation Service Evaluation Type = Batch Population remains 0 MonitoringIn Monitoring I noticed:Last Evaluation Job = No runs (for multiple audiences) Last Activation Job = No runsEven after waiting more than 24 hours, no evaluation job appears.AI Assistant FindingsI also checked using AJO AI Assista

Hi! I can't find anywhere the total amount of campaigns (Action campaigns) supported by ajo. Journeys limit is 200 but what about Campaigns? Thanks!

Adobe will stop supporting Batch Audiences in the Audience qualification start to a journey, and wants either streaming audiences (so 24 hour period max) or use of the read audience start. That means a read audience can’t determine which are new profiles in the audience and just sends to everyone in the audience, which just doesn’t work, or we need to define the audience in batch with very defined limits and have exclusions of people who have been messaged, which is not practical. Campaigns have an iterative type of read to process only new profiles entering the audience, journeys  dont. And campaigns arent an option for Whatsapp or logic around comms segmentation Are there any work arounds that anyone has put in place to negate the potential issues here? I really feel this is a very ill advised change to something that was working very well.